DocumentCode
1747709
Title
Adaptive control of partial functions in genetic programming
Author
Essam, Daryl ; McKay, R.I.
Author_Institution
Sch. of Comput. Sci., New South Wales Univ., Campbell, ACT, Australia
Volume
2
fYear
2001
fDate
2001
Firstpage
895
Abstract
The paper investigates the use of partial functions in genetic programming. Previous work (R.I. McKay, 2000), has shown that the convergent behaviour of populations of partial functions is very similar to that of populations of total functions. However the convergence rates of populations of partial functions have been slower. The results presented demonstrate a significant improvement in the rate of convergence of populations of partial functions, and indicate that partial functions represent a realistic alternative to total functions for a range of problems
Keywords
adaptive control; computational complexity; convergence; functions; genetic algorithms; adaptive control; convergence rates; convergent behaviour; genetic programming; partial functions; realistic alternative; total functions; Adaptive control; Australia; Computational efficiency; Computer science; Convergence; Data structures; Drives; Educational institutions; Genetic programming; Particle measurements;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2001. Proceedings of the 2001 Congress on
Conference_Location
Seoul
Print_ISBN
0-7803-6657-3
Type
conf
DOI
10.1109/CEC.2001.934285
Filename
934285
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